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Application of text mining to the analysis of climate-related disclosures

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  • Moreno, Angel-Ivan
  • Caminero, Teresa

Abstract

In this article we apply text-mining techniques to analyse the TCFD recommendations on climate-related disclosures of the 12 significant Spanish financial institutions and of the companies comprising the IBEX11The IBEX 35 is a Spanish stock index that measures the behavior of the 35 most negotiated companies within the four Spanish stock exchanges (Madrid, Barcelona, Bilbao and Valencia). The study includes the 35 companies except one (ArcelorMittal), which did not have enough reports available for the period of analysis. 35 stock market index using publicly available corporate reports from 2014 until 2020.

Suggested Citation

  • Moreno, Angel-Ivan & Caminero, Teresa, 2022. "Application of text mining to the analysis of climate-related disclosures," International Review of Financial Analysis, Elsevier, vol. 83(C).
    • Handle: RePEc:eee:finana:v:83:y:2022:i:c:s1057521922002617
    DOI: 10.1016/j.irfa.2022.102307
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    References listed on IDEAS

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    1. Mahmoud El‐Haj & Paul Rayson & Martin Walker & Steven Young & Vasiliki Simaki, 2019. "In search of meaning: Lessons, resources and next steps for computational analysis of financial discourse," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 46(3-4), pages 265-306, March.
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    3. Altunbas, Yener & Gambacorta, Leonardo & Reghezza, Alessio & Velliscig, Giulio, 2022. "Does gender diversity in the workplace mitigate climate change?," Journal of Corporate Finance, Elsevier, vol. 77(C).
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    7. David Bholat & Stephen Hans & Pedro Santos & Cheryl Schonhardt-Bailey, 2015. "Text mining for central banks," Handbooks, Centre for Central Banking Studies, Bank of England, number 33, April.
    8. Carbone, Sante & Giuzio, Margherita & Kapadia, Sujit & Krämer, Johannes Sebastian & Nyholm, Ken & Vozian, Katia, 2021. "The low-carbon transition, climate commitments and firm credit risk," Working Paper Series 2631, European Central Bank.
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    Cited by:

    1. Prianto Budi Saptono & Gustofan Mahmud & Intan Pratiwi & Dwi Purwanto & Ismail Khozen & Muhamad Akbar Aditama & Siti Khodijah & Maria Eurelia Wayan & Rina Yuliastuty Asmara & Ferry Jie, 2023. "Development of Climate-Related Disclosure Indicators for Application in Indonesia: A Delphi Method Study," Sustainability, MDPI, vol. 15(14), pages 1-25, July.
    2. Andrés Alonso-Robisco & José Manuel Carbó & José Manuel Marqués, 2023. "Machine Learning methods in climate finance: a systematic review," Working Papers 2310, Banco de España.
    3. Frankovic, Ivan & Kolb, Benedikt, 2023. "The role of emission disclosure for the low-carbon transition," Discussion Papers 33/2023, Deutsche Bundesbank.
    4. Daniel O. Beltran & Pinar Uysal, 2023. "What are Large Global Banks Doing About Climate Change?," International Finance Discussion Papers 1368, Board of Governors of the Federal Reserve System (U.S.).

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